CSI-Ratio-Based Doppler Frequency Estimation in Integrated Sensing and Communications

被引：23

作者：

Li, Xinyu ^{[1
,2
]}

Zhang, J. Andrew ^{[2
]}

Wu, Kai ^{[2
]}

Cui, Yuanhao ^{[3
]}

Jing, Xiaojun ^{[3
]}

机构：

[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China

[2] Univ Technol Sydney, Sch Elect & Data Engn, Ultimo, NSW 2007, Australia

[3] Beijing Univ Posts & Telecommun BUPT, Sch Informat & Commun Engn, Beijing 100876, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2022年 / 22卷 / 21期

基金：

澳大利亚研究理事会;

关键词：

Doppler effect; Sensors; Frequency estimation; Wireless fidelity; Receiving antennas; Frequency measurement; Transmitting antennas; Channel state information (CSI); clock asynchronism; cross-antenna CSI ratio; Doppler frequency estimation; human activity recognition; integrated sensing and communications (ISAC);

D O I：

10.1109/JSEN.2022.3208272

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Estimating the Doppler frequency is an important part of sensing moving targets in integrated sensing and communications (ISAC) systems, such as human tracking and activity recognition. However, it can be highly challenging when there is clock asynchronism between the transmitter (Tx) and the receiver (Rx), in bistatic setups that are common nowadays. In this article, we propose three algorithms for Doppler frequency estimation based on the ratio of channel state information (CSI). These algorithms explore different properties of the CSI ratio, including the circle-preserving property of the Mobius transform, the periodicity of the CSI ratio, and the difference (or correlation) between segments of CSI-ratio signals. Experimental results demonstrate that the proposed algorithms can estimate Doppler frequency accurately, outperforming the commonly used approach based on cross-antenna cross correlation (CACC).

引用

页码：20886 / 20895

页数：10

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